* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘mlr3torch’ ...
** this is package ‘mlr3torch’ version ‘0.3.1’
** package ‘mlr3torch’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
converting help for package ‘mlr3torch’
finding HTML links ... done
DataDescriptor html
ModelDescriptor html
PipeOpPreprocTorchTrafoNop html
PipeOpPreprocTorchTrafoReshape html
Select html
TorchCallback html
TorchDescriptor html
TorchIngressToken html
TorchLoss html
TorchOptimizer html
as_data_descriptor html
as_lazy_tensor html
as_lr_scheduler html
as_torch_callback html
as_torch_callbacks html
as_torch_loss html
as_torch_optimizer html
assert_lazy_tensor html
auto_device html
batchgetter_categ html
batchgetter_num html
callback_set html
cross_entropy html
equals-.lazy_tensor html
infer_shapes html
ingress_categ html
ingress_ltnsr html
ingress_num html
is_lazy_tensor html
lazy_shape html
lazy_tensor html
materialize html
materialize_internal html
mlr3torch-package html
mlr3torch_callbacks html
mlr3torch_losses html
mlr3torch_optimizers html
mlr_backends_lazy html
mlr_callback_set html
mlr_callback_set.checkpoint html
mlr_callback_set.history html
mlr_callback_set.lr_scheduler html
mlr_callback_set.lr_scheduler_one_cycle
html
mlr_callback_set.lr_scheduler_reduce_on_plateau
html
mlr_callback_set.progress html
mlr_callback_set.tb html
mlr_callback_set.unfreeze html
mlr_context_torch html
mlr_learners.ft_transformer html
mlr_learners.mlp html
mlr_learners.module html
mlr_learners.tab_resnet html
mlr_learners.torch_featureless html
mlr_learners.torchvision html
mlr_learners_torch html
mlr_learners_torch_image html
mlr_learners_torch_model html
mlr_pipeops_augment_center_crop html
mlr_pipeops_augment_color_jitter html
mlr_pipeops_augment_crop html
mlr_pipeops_augment_hflip html
mlr_pipeops_augment_random_affine html
mlr_pipeops_augment_random_choice html
mlr_pipeops_augment_random_crop html
mlr_pipeops_augment_random_horizontal_flip
html
mlr_pipeops_augment_random_order html
mlr_pipeops_augment_random_resized_crop
html
mlr_pipeops_augment_random_vertical_flip
html
mlr_pipeops_augment_resized_crop html
mlr_pipeops_augment_rotate html
mlr_pipeops_augment_vflip html
mlr_pipeops_module html
mlr_pipeops_nn_adaptive_avg_pool1d html
mlr_pipeops_nn_adaptive_avg_pool2d html
mlr_pipeops_nn_adaptive_avg_pool3d html
mlr_pipeops_nn_avg_pool1d html
mlr_pipeops_nn_avg_pool2d html
mlr_pipeops_nn_avg_pool3d html
mlr_pipeops_nn_batch_norm1d html
mlr_pipeops_nn_batch_norm2d html
mlr_pipeops_nn_batch_norm3d html
mlr_pipeops_nn_block html
mlr_pipeops_nn_celu html
mlr_pipeops_nn_conv1d html
mlr_pipeops_nn_conv2d html
mlr_pipeops_nn_conv3d html
mlr_pipeops_nn_conv_transpose1d html
mlr_pipeops_nn_conv_transpose2d html
mlr_pipeops_nn_conv_transpose3d html
mlr_pipeops_nn_dropout html
mlr_pipeops_nn_elu html
mlr_pipeops_nn_flatten html
mlr_pipeops_nn_fn html
mlr_pipeops_nn_ft_cls html
mlr_pipeops_nn_ft_transformer_block html
mlr_pipeops_nn_geglu html
mlr_pipeops_nn_gelu html
mlr_pipeops_nn_glu html
mlr_pipeops_nn_hardshrink html
mlr_pipeops_nn_hardsigmoid html
mlr_pipeops_nn_hardtanh html
mlr_pipeops_nn_head html
mlr_pipeops_nn_identity html
mlr_pipeops_nn_layer_norm html
mlr_pipeops_nn_leaky_relu html
mlr_pipeops_nn_linear html
mlr_pipeops_nn_log_sigmoid html
mlr_pipeops_nn_max_pool1d html
mlr_pipeops_nn_max_pool2d html
mlr_pipeops_nn_max_pool3d html
mlr_pipeops_nn_merge html
mlr_pipeops_nn_merge_cat html
mlr_pipeops_nn_merge_prod html
mlr_pipeops_nn_merge_sum html
mlr_pipeops_nn_prelu html
mlr_pipeops_nn_reglu html
mlr_pipeops_nn_relu html
mlr_pipeops_nn_relu6 html
mlr_pipeops_nn_reshape html
mlr_pipeops_nn_rrelu html
mlr_pipeops_nn_selu html
mlr_pipeops_nn_sigmoid html
mlr_pipeops_nn_softmax html
mlr_pipeops_nn_softplus html
mlr_pipeops_nn_softshrink html
mlr_pipeops_nn_softsign html
mlr_pipeops_nn_squeeze html
mlr_pipeops_nn_tanh html
mlr_pipeops_nn_tanhshrink html
mlr_pipeops_nn_threshold html
mlr_pipeops_nn_tokenizer_categ html
mlr_pipeops_nn_tokenizer_num html
mlr_pipeops_nn_unsqueeze html
mlr_pipeops_preproc_torch html
mlr_pipeops_torch html
mlr_pipeops_torch_callbacks html
mlr_pipeops_torch_ingress html
mlr_pipeops_torch_ingress_categ html
mlr_pipeops_torch_ingress_ltnsr html
mlr_pipeops_torch_ingress_num html
mlr_pipeops_torch_loss html
mlr_pipeops_torch_model html
mlr_pipeops_torch_model_classif html
mlr_pipeops_torch_model_regr html
mlr_pipeops_torch_optimizer html
mlr_pipeops_trafo_adjust_brightness html
mlr_pipeops_trafo_adjust_gamma html
mlr_pipeops_trafo_adjust_hue html
mlr_pipeops_trafo_adjust_saturation html
mlr_pipeops_trafo_grayscale html
mlr_pipeops_trafo_normalize html
mlr_pipeops_trafo_pad html
mlr_pipeops_trafo_resize html
mlr_pipeops_trafo_rgb_to_grayscale html
mlr_tasks_cifar html
mlr_tasks_lazy_iris html
mlr_tasks_melanoma html
mlr_tasks_mnist html
mlr_tasks_tiny_imagenet html
model_descriptor_to_learner html
model_descriptor_to_module html
model_descriptor_union html
nn html
nn_ft_cls html
nn_ft_transformer_block html
nn_geglu html
nn_graph html
nn_merge_cat html
nn_merge_prod html
nn_merge_sum html
nn_reglu html
nn_reshape html
nn_squeeze html
nn_tokenizer_categ html
nn_tokenizer_num html
nn_unsqueeze html
output_dim_for html
pipeop_preproc_torch html
replace_head html
t_clbk html
t_loss html
t_opt html
task_dataset html
torch_callback html
*** copying figures
** building package indices
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (mlr3torch)